基于深度学习的海马体不对称性评估用于阿尔茨海默病诊断
Fan Zhang1,2, Yifan Wang2, Xinhong Zhang3
1Radiology Department, Huaihe Hospital of Henan University, Kaifeng, China.
Medical physics
|April 17, 2025
概括
一种新的深度学习方法,DeepHAA,量化海马非对称性用于诊断阿尔茨海默病 (AD) 和轻度认知障碍 (MCI). 这种方法比目前的方法提供了更客观的评估,有助于早期检测.
科学领域:
- 神经成像是一种神经成像.
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 海马的对称性对大脑功能至关重要.
- 自然衰老和神经退行性疾病会破坏海马的对称性.
- 目前对海马不对称的临床评估缺乏定量标准.
研究的目的:
- 通过深度学习,提出 hippocampus 非对称性的定量评估方法.
- 解决临床研究中主观视觉评估和粗略体积测量的局限性.
- 开发一种新的基于深度学习的海马体不对称性评估 (DeepHAA) 模型.
主要方法:
- 在MRI扫描中,DeepHAA模型从左和右海马结构中提取了特征.
- 交叉注意力机制用于特征融合.
- 定量评估是基于多式联运嵌入和参考嵌入空间之间的距离.
主要成果:
- 该研究使用了199名受试者的MRI扫描 (53个正常认知,71个MCI,33个AD).
- DeepHAA模型在识别和区分正常认知,MCI和AD之间表现出有效性.
- 河马不对称性的定量评估显示出显著的诊断潜力.
结论:
- 建议的深度学习方法将海马体结构不对称信息整合到AD诊断中.
- DeepHAA提供了一种定量和客观的方法来评估海马体不对称性.
- 该方法显示了在诊断神经退行性疾病 (如阿尔茨海默氏症) 中临床应用的潜力.
更多相关视频
相关概念视频
01:19Role of Hippocampus in Memory
82
The hippocampus, a critical brain structure, plays an essential role in memory processing, particularly in the formation and retrieval of memory. This small, seahorse-shaped region is located within the medial temporal lobe, with one hippocampus in each brain hemisphere. Experimental studies involving lesions in the hippocampi of rats have demonstrated significant impairments in tasks such as object recognition and maze navigation, indicating the hippocampus involvement in both recognition and...
82
01:26Alzheimer's Disease: Overview
317
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
317